DATA SCIENTIST- SUPPLY CHAIN ANALYTICS
Full-Time / Cincinnati, Ohio, United States
Are you passionate about analytics? At P&G, we don’t just offer a job, we offer a career with varying assignments and lots of development opportunities, so that we develop our leaders of tomorrow.
Our Data Scientists have the ability to mine terabytes of data, develop models and algorithms to derive actionable insights, and then translate those insights into business. In this role you will provide consulting services to P&G business units in Europe, India, Middle East and Africa. We use mathematical modeling, decision analysis and simulation to provide business insights to various aspects of the supply network (supply chain design, inventory modeling, capacity analysis, distribution flow and purchasing analytics). You will get to know a wide variety of supply chains and you will influence multi-million dollar decisions. You will act as primary evangelist for the power of technology, data, and predictive and prescriptive analysis.
Our Data Scientists are effective communicators, ambitious and able to drive insights into actions that improve business results. Interpersonal and communication skills are critical to thrive in a multifunctional leadership team. Your job is to communicate complex data or algorithms into simple conclusions that will empower others to act based on the insights you derive.
Our Data Scientists are technically Capable: Data Scientists “get their hands dirty”, using data visualization (Spotfire, Tableau), and analytic tools (R, Python, SAS, JMP, Hive/Impala, etc.) to grasp the business building insights in our mountains of data. You should be adept at applying such technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions. As a Data Scientist for the Supply Chain you will belong to an award-winning Analytics / Operations Research community that is global in scope and operates across P&G’s supply chains.
We believe you will be a good fit if, you have:
- A Master in a quantitative degree (Statistics, Operation Research, Systems Engineering, Decisions Sciences, Computer Science, Applied Math, Economics etc.)
- We are looking for graduates with a maximum of 8 years professional experience
- Good technical & analytical skill (R, SAS, SQL, optimization, simulation, predictive modeling etc)
- Demonstrated success in leadership, problem solving and priority setting
- Excellent collaboration skills and working comfortably across teams
- English fluency
- Passion to transform how decisions are made through adhoc & scaled application of analytics
- Some experience in CPG (FMCG), supply chain, analytics or consulting
- Demonstrated success at deriving insight from data and effectively communicating those insights to drive action
Just so you know:
You will be expected to travel for 10-20% of your time.
We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
All will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.
Immigration sponsorship is not available for this position, except in rare situations based on Procter & Gamble's sole discretion. Applicants for U.S. based positions are eligible to work in the U.S. without the need for current or future sponsorship. We do not sponsor for permanent residency. Any exceptions are based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.
Procter & Gamble participates in e-verify as required by law.
Qualified individuals will not be disadvantaged based on being unemployed.